Cryo-CMOS High-sensitivity Capacitance Meter for Scalable Gate-based Qubit Readout

For scalable semiconductor-based quantum computer, integration of qubit, electrometer and readout circuit on CMOS platform needs to be explored. Here, for qubit readout, the use of charge-based capacitance measurement (CBCM) is proposed to detect the atto-farad change in the gate input capacitance of single-electron transistor (SET) electrometer. Mixed SET-CMOS circuit simulation revealed that a few hundred microvolts signal appeared at the integration capacitance at 1MHz data rate and the gate capacitance profile with respect to the gate voltage was successfully reproduced.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2025-02-28
DOI
https://doi.org/10.1541/ieejeiss.145.386
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Cryo-CMOS High-sensitivity Capacitance Meter for Scalable Gate-based Qubit Readout

Hiroaki Satoh, Hiroshi Inokawa, Alka Singh
IEEJ Transactions on Electronics Information and Systems
Quantum Computing Algorithms and Architecture
article

Cryo-CMOS High-sensitivity Capacitance Meter for Scalable Gate-based Qubit Readout

Hiroaki Satoh, Hiroshi Inokawa, Alka Singh
article en

Abstract

For scalable semiconductor-based quantum computer, integration of qubit, electrometer and readout circuit on CMOS platform needs to be explored. Here, for qubit readout, the use of charge-based capacitance measurement (CBCM) is proposed to detect the atto-farad change in the gate input capacitance of single-electron transistor (SET) electrometer. Mixed SET-CMOS circuit simulation revealed that a few hundred microvolts signal appeared at the integration capacitance at 1MHz data rate and the gate capacitance profile with respect to the gate voltage was successfully reproduced.

IEEJ Transactions on Electronics Information and SystemsVol. 145(3)
Shizuoka University (JP)
Affordable and clean energy
Openalex Percentile: Top 99%
Quantum Computing Algorithms and Architecture
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